76 to 100 of 3,836 SQL Jobs in the UK

generation, and prompt engineering. Mandatory Skills: Cloud Platforms:Deep experience with AWS (S3, Lambda, Glue, Redshift) and/or Azure (Data Lake, Synapse). Programming & Scripting:Proficiency in Python, SQL, PySpark etc. ETL/ELT & Streaming:Expertise in technologies like Apache Airflow, Glue, Kafka, Informatica, EventBridge etc. Industrial Data Integration:Familiarity with OT data schema originating from OSIsoft PI, SCADA More ❯

with a keen attention to detail. Preferred skills and qualifications of the Data Analyst Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related Proficient in SQL and data visualisation tools such as Power BI or Tableau Practical experience in developing data warehouse solutions as part of a broader data architecture Exposure to Microsoft Fabric implementations, including More ❯

and foster a culture of collaboration and continuous improvement. About you Proven experience as a Senior or Lead Developer in a fast-paced environment. Strong proficiency in .NET, C#, SQL, Visual Studio, Power Platform, SharePoint. Experience with cloud platforms (Azure) and CI/CD pipelines. Experience with Developing and monitoring Azure integrations Demonstrable people management experience, coupled with effective communication More ❯

and foster a culture of collaboration and continuous improvement. About you Proven experience as a Senior or Lead Developer in a fast-paced environment. Strong proficiency in .NET, C#, SQL, Visual Studio, Power Platform, SharePoint. Experience with cloud platforms (Azure) and CI/CD pipelines. Experience with Developing and monitoring Azure integrations Demonstrable people management experience, coupled with effective communication More ❯

improve data, processes and delivery standards • Contribute to establishing data engineering as a strategic capability in the business Qualifications Essential Skills • Senior experience in data engineering leadership roles • Strong SQL and Python capability in production environments • Proven Azure data engineering and architecture experience • Skilled in ETL and data automation design and delivery • Experience of data integration including APIs • Ability to More ❯

potential impact and opportunity to become Envitia offerings to the market. Required Skills & Experience Data Engineering Expertise Proficiency in one or more core data languages and technologies, such as SQL, Scala, Python, R, PySpark, and Elasticsearch. Proven experience designing, building, and maintaining robust data pipelines using AWS, Azure, and/or open-source frameworks including Spark, Beam, and Airflow. Hands More ❯

potential impact and opportunity to become Envitia offerings to the market. Required Skills & Experience Data Engineering Expertise Proficiency in one or more core data languages and technologies, such as SQL, Scala, Python, R, PySpark, and Elasticsearch. Proven experience designing, building, and maintaining robust data pipelines using AWS, Azure, and/or open-source frameworks including Spark, Beam, and Airflow. Hands More ❯

Job Title: Lead Data Analyst Contract Type: Permanent Reports to: Business Intelligence Manager The Role Are you passionate about data? Do you have a curious mind that seeks to understand what drives outcomes? If you're excited about the challenge More ❯

Job Title: Lead Data Analyst Contract Type: Permanent Reports to: Business Intelligence Manager The Role Are you passionate about data? Do you have a curious mind that seeks to understand what drives outcomes? If you're excited about the challenge More ❯

Temenos Transact (T24) SQL Server Developer and Database Administrator (DBA) required by an International Bank based in the City of London paying circa 60k, it is Office Based, you will be part of a team of 4. Ideally you will have indepth knowledge of the Temenos Transact (T24) data structure and the ability to develop and administer Microsoft SQL Server … administration , and performance tuning, with a strong ability to work independently and translate business requirements into robust data solutions. Key Responsibilities Design, develop, and maintain SQL Server databases, stored procedures, views, triggers, and functions. Gather, analyse, and interpret user requirements to design and deliver effective database solutions with minimal supervision. Administer, monitor, and optimise SQL Server environments, ensuring availability, performance … with business analysts, developers, and infrastructure teams to ensure data integrity and solution alignment. Provide data analysis, reporting, and business intelligence support as required. Stay up to date with SQL Server best practices and emerging database technologies. Required Skills & Experience Familiarity with Temenos Transact (T24) data structures and core banking systems. Experience in SQL Server development and administration (SQL Server More ❯

PCF Controls. Desirable Skills Power BI proficiency API integration Some knowledge of Kofax or similar tool Knowledge of Mendix or other LCAP tool Knowledge and experience of working with SQL/Oracle databases and writing SQL scripts Strong understanding of Azure services such as Azure functions, Logic Apps, Azure Service Bus, Azure DevOps, and other Azure services Strong experience with More ❯

the data engineering framework and development processes. Required Skills & Experience: Demonstrated experience in data engineering within the Azure cloud environment. Proficiency with Azure Data Factory, Synapse Analytics, Databricks, Azure SQL, and Azure Storage. Strong SQL skills and expertise in dimensional modelling (e.g., star/snowflake schemas). Familiarity with Power BI dataflows, DAX, and RLS setup. Hands-on experience with … Python, PySpark, or T-SQL for data processing and automation. Understanding of CI/CD practices in data projects using Git and YAML pipelines. Solid knowledge of data security, governance, and performance optimisation. Desirable Skills: Exposure to Microsoft Fabric and modern lakehouse architectures. Experience integrating data from enterprise platforms (e.g., HR, Finance, CRM, ERP). Familiarity with infrastructure-as-code More ❯

learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily Rate: £600-£650 (via Umbrella) 9 months initial contract We are seeking two AI Solutions Engineers to lead More ❯

decisions. What You'll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with cross … ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI, and Tableau. Why Join? Work in a fast-growth, innovation-driven environment. Be part of a diverse and inclusive team where your contributions are valued. Tackle meaningful challenges More ❯

decisions. What You'll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with cross … ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI, and Tableau. Why Join? Work in a fast-growth, innovation-driven environment. Be part of a diverse and inclusive team where your contributions are valued. Tackle meaningful challenges More ❯

in query writing and data extraction. Responsibilities Collect and prepare data from multiple sources for analysis. Conduct basic data analysis and create insightful reports using tools such as Excel, SQL, and Power BI/Tableau. Ensure accurate and clear reporting by maintaining and distributing reports to end users. Assist in designing and updating interactive dashboards and visualisations. Work closely with … stakeholders to understand data needs and provide actionable insights. Analyse datasets to uncover trends, patterns, and anomalies that inform strategic decisions. Requirements Basic knowledge of SQL and data visualisation tools (Power BI, Tableau). Proficiency in Microsoft Excel; familiarity with VBA and Macros is a plus. Strong analytical mindset with a keen eye for detail. Excellent communication and problem solving More ❯

quality, integrity, and security across all stages of processing Collaborate with cross-functional teams to define requirements and deliver solutions Requirements: Hands-on experience with Azure Data Factory, Databricks, SQL, Data Lake, Power BI Strong skills in T-SQL and DAX Experience in ETL development, data modelling, and data governance Familiarity with CI/CD pipelines and Azure DevOps Excellent More ❯

to improving data engineering processes and development lifecycle. Required Skills & Experience: Proven experience as a Data Engineer working with Azure. Strong skills in Azure Data Factory, Synapse Analytics, Databricks, SQL Database, and Azure Storage. Excellent SQL and data modelling (star/snowflake, dimensional modelling). Knowledge of Power BI dataflows, DAX, and RLS. Experience with Python, PySpark, or T-SQL More ❯

to improving data engineering processes and development lifecycle. Required Skills & Experience: Proven experience as a Data Engineer working with Azure. Strong skills in Azure Data Factory, Synapse Analytics, Databricks, SQL Database, and Azure Storage. Excellent SQL and data modelling (star/snowflake, dimensional modelling). Knowledge of Power BI dataflows, DAX, and RLS. Experience with Python, PySpark, or T-SQL More ❯

quality, integrity, and security across all stages of processing Collaborate with cross-functional teams to define requirements and deliver solutions Requirements: Hands-on experience with Azure Data Factory, Databricks, SQL, Data Lake, Power BI Strong skills in T-SQL and DAX Experience in ETL development, data modelling, and data governance Familiarity with CI/CD pipelines and Azure DevOps Excellent More ❯

internal business systems and external services. You'll support a cross-platform suite of services relying on both the Oracle and Microsoft Azure ecosystems utilizing technologies including Data Factory, SQL, Java and C#. You'll work on new initiatives including application development using Oracle APEX and data analysis in Oracle Analytics Cloud and AutoML as well as supporting existing systems. … documentation Collaborate closely with stakeholders (business leads, IT functional teams) across multiple countries Provide 2nd and 3rd line support for incidents and service requests Skills & Experience Solid experience with SQL and software development processes using Java Experience with Microsoft Azure services, in particular Data Factory, SQL Server, Logic Apps, Storage Accounts and Key Vault Experience or working knowledge of JavaScript … skills Keen desire to learn and develop skills Comfortable working in a remote environment with distributed teams Knowledge of other technologies including C#.Net, Oracle APEX, Oracle Analytics Cloud and SQL Server Integration Services would be advantageous RPS, a Tetra Tech company RPS, part of Tetra Tech since January 2023, is a global firm that defines, designs, and manages projects in More ❯

storage and retrieval. Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for performance and reliability. Maintain technical documentation and lead knowledge-sharing initiatives. Deploy advanced analytics and machine learning solutions using Azure. Stay current … technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination More ❯

Automate. Develop dashboards and reports in Power BI. Integrate Power Platform solutions with Azure Functions, Logic Apps, API Management and other cloud services. Build and manage Dataverse, SharePoint and SQL data models. Develop and maintain custom connectors and REST API integrations. Support full lifecycle delivery: requirements gathering, development, testing, deployment and documentation. Ensure solutions meet governance, security and compliance standards. … practice. Skills & Experience Strong experience developing solutions using Power Apps and Power Automate. Good understanding of Azure services, especially those used in integration and automation. Experience with Dataverse, SharePoint, SQL and REST APIs. Working knowledge of Power BI. Familiarity with ALM, solution deployment and environment management. Ability to write/debug Power Fx, JavaScript and JSON. Strong analytical and problem More ❯

collaboratively with the wider business to shape solutions that are future-ready, efficient and insight-driven. Technology Environment The organisation makes extensive use of the Microsoft data toolset, including SQL Server, Azure SQL, Azure Data Factory, Fabric and PowerBI, supporting robust data engineering and analytics across the business. Automation and workflow solutions are delivered through the Microsoft Power Platform and … analytics, and cloud data platforms. ** Familiarity with modern working practices such as DevOps, CI CD, Agile, and collaborative coding. ** Solid knowledge of the Microsoft ecosystem and data toolset - Azure, SQL, Power Platform, LogicApps, PowerBI. ** Familiarity with programming languages such as C#, .NET, Python, and PowerShell. ** Experience working with Azure Data Factory for data integration and pipeline development. ** Strong vendor management More ❯

collaboratively with the wider business to shape solutions that are future-ready, efficient and insight-driven. Technology Environment The organisation makes extensive use of the Microsoft data toolset, including SQL Server, Azure SQL, Azure Data Factory, Fabric and PowerBI, supporting robust data engineering and analytics across the business. Automation and workflow solutions are delivered through the Microsoft Power Platform and … analytics, and cloud data platforms. ** Familiarity with modern working practices such as DevOps, CI CD, Agile, and collaborative coding. ** Solid knowledge of the Microsoft ecosystem and data toolset - Azure, SQL, Power Platform, LogicApps, PowerBI. ** Familiarity with programming languages such as C#, .NET, Python, and PowerShell. ** Experience working with Azure Data Factory for data integration and pipeline development. ** Strong vendor management More ❯